Patrick Siarry

Patrick SiarryPatrick Siarry was born in France in 1952. He received the Ph.D. degree in computer science and optimization from University Paris VI, Paris, France, in 1986, and the Doctorate of Sciences (Habilitation) degree in computer science and optimization frm University Paris XI, Orsay, France, in 1994., He was first involved in the development of analog and digital models of nuclear power plants with Electricité de France, Paris. Since 1995, he has been a Professor of Automatics and Informatics with Université Paris-Est Créteil, Créteil, France. His main research interests include computer-aided design of electronic circuits, cognitive intelligence, and the applications of new stochastic global optimization heuristics to various engineering fields, also including the fitting of process models to experimental data, the learning of fuzzy rule bases, and of neural networks. Read More Read Less

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Explainable AI in Health Informatics37 % NR
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AI-Based Metaheuristics for Information Security and Digital Media42 %
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Advanced Machine Learning with Evolutionary and Metaheuristic Techniques37 %
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Fifth International Conference on Computing and Network Communications37 %
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Intelligent Systems Design and Applications37 %
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30 Jul 2024
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Intelligent Systems Design and Applications37 %
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Intelligent Systems Design and Applications37 %
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Intelligent Systems Design and Applications37 %
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Explainable AI in Health Informatics37 %
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Metaheuristic Algorithms in Industry 4.033 %
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Handbook of AI-based Metaheuristics33 %
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Advanced Machine Learning with Evolutionary and Metaheuristic Techniques37 %
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Metaheuristics for Machine Learning37 %
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Intelligent Systems Design and Applications37 %
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Combinatorial Optimization Under Uncertainty33 %
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AI-Based Metaheuristics for Information Security and Digital Media42 %
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06 Jul 2023
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Proceedings of the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2022)37 %
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Artificial Intelligence: Theories and Applications37 %
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Computational Intelligence for Medical Internet of Things (MIoT) Applications46 %
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Applied Machine Learning and Data Analytics37 %
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27 May 2023
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